Abstract
In this paper we propose a hybrid system for automatic text summarization and automatic search task related to legal documents in the legal domain. Manual summarization requires much human effort and time. For this reason automatic text summarization is introduced which saves the legal expert time. The summarization task involves the identification of rhetorical roles presenting the sentences of a legal judgement document. The search task involves the identification of related past cases as per the given legal query. For these two tasks we have introduced hybrid system which is the combination of different techniques. The techniques involved in our hybrid system are keyword or key phrase matching technique and case based technique. We have implemented and tested and required results are produced.
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References
Farzindar, A., Lapalme, G.: Legal Text Summarization by Exploration of the Thematic Structures and Argumentative Roles (2004)
Bridge, D., Goker, M.H., Mcginty, L., Smyth, B.: Case-based recommender systems. Knowl. Eng. Rev. 20(3), 315–320 (2005)
Wang, D., Li, T., Zhu, S., Gong, Y.: iHelp: An Intelligent Online Helpdesk System. IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics (April 11, 2010)
Jagadish, H.V., Ooi, B.C., Tan, K.-L., Yu, C., Zhang, R.: idistance: An adaptive b+-tree based indexing method for nearest neighbour search. ACM Trans. Database Syst. 30(2), 364–397 (2005)
Doyle, M., Cunningham, P.: A Dynamic Approach to Reducing Dialog in On-Line Decision Guides. In: Blanzieri, E., Portinale, L. (eds.) EWCBR 2000. LNCS (LNAI), vol. 1898, pp. 49–60. Springer, Heidelberg (2000)
Mirzadeh, N., Ricci, F., Bansal, M.: Feature selection methods for conversational recommender systems. In: Proc. IEEE Int. Conf. e-Technol., e-Commerce e-Service, pp. 772–777 (2005)
Al-Hashemi, R.: Text Summarization Extraction System (TSES) Using Extracted Keywords. International Arab Journal of e-Technology 1(4) (June 2010)
Gholamrezazadeh, S., Salehi, M.A., Gholamzadeh, B.: A Comprehensive Survey on Text Summarization Systems. 978-1-4244-4946-0/09/$25.00 ©2009 IEEE
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Kavila, S.D., Puli, V., Prasada Raju, G.S.V., Bandaru, R. (2013). An Automatic Legal Document Summarization and Search Using Hybrid System. In: Satapathy, S., Udgata, S., Biswal, B. (eds) Proceedings of the International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA). Advances in Intelligent Systems and Computing, vol 199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35314-7_27
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DOI: https://doi.org/10.1007/978-3-642-35314-7_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35313-0
Online ISBN: 978-3-642-35314-7
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